Wavelet Genetic Algorithm-Support Vector Regression (Wavelet GA-SVR) for Monthly Flow Forecasting

By Aman Mohammad Kalteh. Water resources management, 2015

72 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/78ea0e8e85df95e103083018b3c4ba98ba8fa75b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xiangang Luo
2. Shuang Zhu
3. Lingsheng Meng
4. Xiaohui Yuan
5. Jing Peng
6. Zhanya Xu

In Electrical and Electronic Engineering

1. Xiangang Luo
2. Shuang Zhu
3. Lingsheng Meng
4. Xiaohui Yuan
5. Jing Peng
6. Zhanya Xu

In Environmental Engineering

1. Xiangang Luo
2. Shuang Zhu
3. Lingsheng Meng
4. Xiaohui Yuan
5. Jing Peng
6. Zhanya Xu

Citations in the corpus

• A hybrid support vector regression framework for streamflow forecast (2019, methodology): “For example, comparison of driving models (Kalteh, 2015; Moeeni and Bonakdari, 2016), predicting factor screening methods (Chen et al.”